Healthcare systems are not constrained by lack of technology. They are constrained by staffing shortages, rising demand, and limited capacity. In imaging, those pressures are changing how AI is evaluated and adopted.
What this conversation…
As climate change intensifies, healthcare systems will increasingly face unprecedented climatic emergencies surpassing assumptions underlying their emergency protocols. While conventional scenario-based preparedness and contingency planning will remain relevant for most events, they may falter…
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Check out today’s featured companies who have recently raised a round of funding, and be sure to check out the full list of past healthcare IT fundings.
Topos Bio Secures $10.5M to Tackle ‘Undruggable’ Proteins…
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What You Should Know
– Topos Bio has emerged from stealth with $10.5M in seed funding to solve one of the most persistent challenges in medicine: targeting intrinsically disordered proteins (IDPs). The seed funding was led…
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What You Should Know:
– Ritten, a leading AI-powered system of record for behavioral health providers, today announced a $35 million USD Series B funding round led by Five Elms Capital with participation from existing investors…
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This Matters Arising questions the MCID threshold for the Knee Society Score in Xiaodi Liu et al.’s study, noting that it represents an excessively large proportion of the total score and may not accurately…
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Clinical decision-making often simplifies continuous risk data into discrete levels using round-number thresholds. These simplifications can distort risk assessments. To systematically uncover these distortions, we develop an interpretable machine learning model that identifies anomalies…
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Lucienne Ide, MD, PhD, Founder and CEO of Rimidi
The annual release of the Medicare Physician Fee Schedule (PFS) generated more attention than usual this year among practices that have considered or are already offering…
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Surgical site infections (SSIs), among the most frequent healthcare-associated infections, require surveillance, but traditional methods are labour-intensive. We developed machine learning (ML) and rule-based models for the semi-automated detection of deep and organ/space SSIs…
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Family members who I talk to about AI are usually surprised to learn that it’s being used in healthcare. They assume that regulations for its use must be in place. I explain the threshold…
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